Predictive Analytics
offered by IIM Bangalore

Public/Government Institute
Estd. 1973

Predictive Analytics
at
IIM Bangalore
Overview

Gain a comprehensive overview of Predictive Analytics

Duration	6 weeks
Mode of learning	Online
Credential	Certificate

Predictive Analytics
at
IIM Bangalore
Highlights

Earn a certificate after completion

Predictive Analytics
at
IIM Bangalore
Course details

Skills you will learn

Excel SAS Data analysis Forecasting

Who should do this course?

Students pursuing post-graduate program, Researchers, Academicians and Researchers

What are the course deliverables?

Apply predictive analytics tools to analyse real-life business problems
Demonstrate case-based practical problems using predictive analytics techniques to interpret model outputs
Examine regression, logistic regression, and forecasting using software tools such as MS Excel, SPSS, and SAS

More about this course

In order to make the task of decision-making simpler, Predictive Analytics aims to predict the probability of the occurrence of a future event such as customer churn, loan defaults, and stock market fluctuations, thus enabling effective business management
Predictive Analytics is now emerging as a competitive strategy across many business sectors and can set apart high performing companies

Predictive Analytics
at
IIM Bangalore
Curriculum

Week 1: Introduction to Analytics

Introduction to Analytics

Analytics in Decision Making

Game changers & Innovators

Predictive Analytics

Experts view on Analytics

Week 2: Simple Linear Regression (SLR)

Case-let Overview

Introduction to Regression

Model Development

Model Validation

Demo using Excel & SPSS

Week 3: Multiple Linear Regression (MLR)

Multiple Linear Regression

Estimation of Regression Parameters

Model Diagnostics

Dummy, Derived & Interaction Variables

Multi-collinearity

Model Deployment

Demo using SPSS

Week 4: Logistic Regression

Discrete choice models

Logistic Regression

MLE Estimation of Parameters

Logistic Model Interpretation

Logistic Model Diagnostics

Logistic Model Deployment

Demo using SPSS

Week 5: Decision Trees and Unstructured data analysis

Introduction to Decision Trees

CHI-Square Automatic Interaction Detectors (CHAID)

Classification and Regression Tree (CART)

Analysis of Unstructured data

Naive Bayes Classification

Demo using SPSS

Week 6: Forecasting and Time series Analysis

Forecasting

Time Series Analysis

Additive & Multiplicative models

Exponential smoothing techniques

Forecasting Accuracy

Auto-regressive and Moving average models

Demo using SPSS

Predictive Analytics
at
IIM Bangalore
Faculty details

Dinesh Kumar

Professor U Dinesh Kumar, is a professor of Decision Sciences at the Indian Institute of Management Bangalore. Recognized as one of the Top 10 Most Prominent Analytic Academicians in India, Prof. Dinesh Kumar is the Chairperson of MBA (Business Analytics) at IIM Bangalore. His main research and teaching interest are Business Analytics and Artificial Intelligence and he has published 38 case studies at the Harvard Business Publishing on data science and machine learning, 7 of his case studies are best sellers at the Harvard Business Publishing case portal. He has authored more than 70 research articles, and 2 books. His books, business analytics – the science of data driven making and machine learning using python are Amazon India best sellers.